Image texture feature detection based on Gabor filter;

Design of optimized Gabor filter for multi-edges detection;

The parameter selection of Gabor filter for iris feature extraction;

Method for face description and recognition by local multi-channel Gabor filters and ICA;

A slub detection method based on Gabor filters

This paper designed a set of multi-scale、multi-directional real Gabor filters Incorporating into the human visual characteristics,the concept of mutual information entropy in rough set was introduced to evaluate the effect of the features extracted from different filters on clustering,get rid of the redundancy features and gave prominence to the features which had good distinguishing abilities.

An approach to measure the scaling factor of matched filter by using rectangle aperture s Fourier frequency spectrum;

Effect of reference target location in matched filter on correlation peak location;

Composite matched filter design researching based on UNPOF and ECPSDF;

Only phase information self focusing matching filter by computer generated hologram;

In the continuous tracking, using the correlative re-conformation of matching filter, with the subdivision of frequency or phase, a multi-frame processing arithmetic for anti-jamming was put forward.

Computer simulation and experimental results show that matching filter using extracted feature to code can recognize two images of common feature.

The paper provided a way to make the optimization match filter by computer could simplify the experiment scheme and meet the need of real-time recognition.

This paper presents a novel long-period PN-code fast acquisition scheme which is based on "match filter + sequence estimation"approach.

A modified match filter was used to increase the signal-noise ratio(SNR) of 3-20dB.